Upload app.py

app.py

@@ -123,7 +123,7 @@ def iterative_least_likely_fgsm_cifar10(image, model, epsilon, alpha, niter, nb_
 
 def fn(dataset, attack):
     epsilon=5/255
-    alpha=1
+    alpha=1/255
     niter = int(min(4 + epsilon*255, 1.25 * epsilon * 255))
     nb_classes = 10
     classes = ["airplane", "automobile", "bird", "cat", "deer", "dog", "frog", "horse", "ship", "truck"]